correct mapping code from csv to json for land use

[diem-ai]

This is a correction where each complex object of data source, geo component, emission is written in one separate line in json file.

[bouffan]

Hi @diem-ai !

I just finished seeing the file and I have just some minor comments before approving!

First, there is a special geo-component/scale for continents that is ''country_group". In the current mapped file, the scale selected for continents is "country"

So far the name for the continent is used in "id" and the "type" is set to alpha3
ex for America: "identifier": {"id": "America", "type": "alpha3"}
But in this case, the type should be set to "name"

Finally, it seems that there is only one sector mapped in the file. If you want to map all sectors, if you want you can have examples of notebooks that does that for the mapped data that have been merged into main (oecd, wri, primap, gcp)

[diem-ai]

Hi

Hi @diem-ai !

I just finished seeing the file and I have just some minor comments before approving!

First, there is a special geo-component/scale for continents that is ''country_group". In the current mapped file, the scale selected for continents is "country"

So far the name for the continent is used in "id" and the "type" is set to alpha3
ex for America: "identifier": {"id": "America", "type": "alpha3"}
But in this case, the type should be set to "name"

Finally, it seems that there is only one sector mapped in the file. If you want to map all sectors, if you want you can have examples of notebooks that does that for the mapped data that have been merged into main (oecd, wri, primap, gcp)

Thanks for your comments.

• I'll correct the type of geo identifier object by replace "alpha3" by "name"
• There is only one sector, lucf, which produces co2 gas in that dataset.

[diem-ai]

Hi,
The correction is done. Please proceed the Merge request.

[diem-ai]

Hi,

This Pull request covers:

• A new notebook that processes raw time series fossil fuel by countries. The purpose is to enrich the variety of sectors for cdiac.
• A modification of json file creation: Appending the new json object into the current file if it exists so that we can have only one mapped cdiac file at the end no matter how many notebooks (for cdiac) were executed.

[bouffan]

@diem-ai Hi Diem !

I just finished watching the mapping. I have just two comments for the mapping!

1. in the current version, you use geo_scale = "country" for all entries of the data. However, some of the entries are continents or groups of countries. In this case, the geo_scale should be set to "country_group"

2. I have a question about the second notebook mapping (fossil_fuel_nation). In this notebook, some sectors are mapped towards the same ogs sector even though they do not have the same origin sector name. @S-AI-F suggested to wait after the demo day so that we can discuss together how to treat these cases !